tigercontrol.models.time_series.RNN

class tigercontrol.models.time_series.RNN

Description: Produces outputs from a randomly initialized recurrent neural network.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()	Initialize self.
forecast(x[, timeline])	Description: Forecast values ‘timeline’ timesteps in the future :param x: Value at current time-step :type x: float/numpy.ndarray :param timeline: timeline for forecast :type timeline: int
help()	Description: Prints information about this class and its methods.
initialize([n, m, l, h, optimizer, loss, lr])	Description: Randomly initialize the RNN.
predict(x[, timeline])	Description: Predict next value given observation :param x: Observation :type x: float/numpy.ndarray
to_ndarray(x)	Description: If x is a scalar, transform it to a (1, 1) numpy.ndarray; otherwise, leave it unchanged.
update(y)	Description: Updates parameters :param y: True value at current time-step :type y: int/numpy.ndarray

Attributes

compatibles
spec